Long Tian

84 total papers · 794 total citations
63 papers, 531 citations indexed

About

Long Tian is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Long Tian has authored 63 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Atomic and Molecular Physics, and Optics, 31 papers in Artificial Intelligence and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Long Tian's work include Quantum Information and Cryptography (30 papers), Quantum optics and atomic interactions (18 papers) and Advanced Fiber Laser Technologies (17 papers). Long Tian is often cited by papers focused on Quantum Information and Cryptography (30 papers), Quantum optics and atomic interactions (18 papers) and Advanced Fiber Laser Technologies (17 papers). Long Tian collaborates with scholars based in China and Sweden. Long Tian's co-authors include Yaohui Zheng, Yajun Wang, Kunchi Peng, Shaoping Shi, Changde Xie, Shujing Li, Qingwei Wang, Ruixin Li, Hai Wang and Wei Li and has published in prestigious journals such as Physical Review Letters, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Long Tian

51 papers receiving 433 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Long Tian	463	328	100	31	19	63	531
Linguo Xie	495 1.1×	272 0.8×	189 1.9×	101 3.3×	11 0.6×	28	594
M. W. Hamilton	392 0.8×	74 0.2×	136 1.4×	26 0.8×	9 0.5×	45	614
Tim Freegarde	500 1.1×	123 0.4×	144 1.4×	43 1.4×	5 0.3×	40	566
Yin‐Hai Li	358 0.8×	214 0.7×	156 1.6×	95 3.1×	16 0.8×	52	551
Min Jiang	443 1.0×	104 0.3×	36 0.4×	28 0.9×	16 0.8×	46	534
Matthias Scholz	374 0.8×	197 0.6×	220 2.2×	32 1.0×	8 0.4×	58	519
David S. Simon	438 0.9×	242 0.7×	109 1.1×	124 4.0×	28 1.5×	59	545
Rafael M. Gomes	469 1.0×	387 1.2×	65 0.7×	21 0.7×	11 0.6×	33	597
G. Oelsner	461 1.0×	289 0.9×	93 0.9×	27 0.9×	2 0.1×	35	549
A. Goncharov	432 0.9×	25 0.1×	151 1.5×	11 0.4×	9 0.5×	53	493

Countries citing papers authored by Long Tian

Since Specialization

Citations

This map shows the geographic impact of Long Tian's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Long Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Tian more than expected).

Fields of papers citing papers by Long Tian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Long Tian. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Long Tian. The network helps show where Long Tian may publish in the future.

Co-authorship network of co-authors of Long Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Long Tian. A scholar is included among the top collaborators of Long Tian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Long Tian. Long Tian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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